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Mathematical Methods in Medical and Biological Sciences

Om Mathematical Methods in Medical and Biological Sciences

Mathematical Methods in Medical and Biological Sciences presents mathematical methods for computational models arising in medical and biological sciences. The book presents several real-life medical and biological models, such as infectious and non-infectious diseases, that can be modeled mathematically to accomplish profound research in virtual environments when the cost of laboratory expenses is relatively high. The book focuses on mathematical techniques that provide global solutions for models arising in medical and biological sciences by considering their long-term benefits. In addition, the book provides leading-edge developments and insights for a range of applications, including epidemiological modeling of pandemic dynamics, viral infection developments, cancer developments, blood oxygen dynamics, HIV infection spread, reaction-diffusion models, polio infection spread, and chaos modeling with fractional order derivatives.

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  • Språk:
  • Engelska
  • ISBN:
  • 9780443288142
  • Format:
  • Häftad
  • Sidor:
  • 322
  • Utgiven:
  • 15. november 2024
  • Mått:
  • 216x276x0 mm.
  Fri leverans
Leveranstid: 2-4 veckor
Förväntad leverans: 13. december 2024

Beskrivning av Mathematical Methods in Medical and Biological Sciences

Mathematical Methods in Medical and Biological Sciences presents mathematical methods for computational models arising in medical and biological sciences. The book presents several real-life medical and biological models, such as infectious and non-infectious diseases, that can be modeled mathematically to accomplish profound research in virtual environments when the cost of laboratory expenses is relatively high. The book focuses on mathematical techniques that provide global solutions for models arising in medical and biological sciences by considering their long-term benefits. In addition, the book provides leading-edge developments and insights for a range of applications, including epidemiological modeling of pandemic dynamics, viral infection developments, cancer developments, blood oxygen dynamics, HIV infection spread, reaction-diffusion models, polio infection spread, and chaos modeling with fractional order derivatives.

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